A twitter bot to provide interactive microfiction!

This python3 program uses tweepy and nltk to create procedural quest dialogue and post it to twitter for all who tweet at it.

1. Run the command in the bash shell from the project directory:

   docker build . -t storyteller-bot

2. Test your build from powershell with

   docker run -it -e CONSUMER_KEY=$StorytellerConsumer -e CONSUMER_SECRET=$StorytellerConsumerSecret -e ACCESS_TOKEN=$StorytellerAccess -e ACCESS_TOKEN_SECRET=$StorytellerAccessSecret storyteller-bot

Note: Everything is in the bash shell for this part! This is also for digital ocean droplets, and twitter-bot-drop is the name of my digital ocean droplet that I'm making and storyteller-bot is the docker image name.

1. If you don't have anything registered as a docker-machine (which controls multiple instances of docker images) then you make one.

   docker-machine create --driver digitalocean --digitalocean-access-token YOUR-ACCESS-TOKEN-HERE twitter-bot-drop

2. Then this command sets your current shell environment to be your docker-machine shell environment

   eval $(docker-machine env twitter-bot-drop)

3. Then in your new shell you build your docker image

   docker build . -t storyteller-bot

4. And then deploy it! The only difference here is the -id instead of -it which just tells it you want it to be detached from your shell.

   docker run -id -e CONSUMER_KEY=$StorytellerConsumer -e CONSUMER_SECRET=$StorytellerConsumerSecret -e ACCESS_TOKEN=$StorytellerAccess -e ACCESS_TOKEN_SECRET=$StorytellerAccessSecret storyteller-bot

Et voila! Functioning docker image running on your droplet (which is called a docker-machine)

• Guru99 Walkthrough of nltk and text parsing